{"id":111264,"updated":"2025-01-21T07:23:19.666908+00:00","links":{},"created":"2025-01-18T23:53:24.803479+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00111264","sets":["6504:7208:7828"]},"path":["7828"],"owner":"6748","recid":"111264","title":["リスト型質問応答のための回答候補間共起情報を利用したスコアリング改善手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-03-06"},"_buckets":{"deposit":"941c7abf-fc61-4227-a0ff-53db646ccb20"},"_deposit":{"id":"111264","pid":{"type":"depid","value":"111264","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"リスト型質問応答のための回答候補間共起情報を利用したスコアリング改善手法の提案","author_link":["29442","29443","29444","29441"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"リスト型質問応答のための回答候補間共起情報を利用したスコアリング改善手法の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2013-03-06","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"北大"},{"subitem_text_value":"北大"},{"subitem_text_value":"北大"},{"subitem_text_value":"北大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/111264/files/IPSJ-Z75-5Q-1.pdf"},"date":[{"dateType":"Available","dateValue":"2014-12-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z75-5Q-1.pdf","filesize":[{"value":"142.2 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"c59adca1-28b2-4f4f-a56f-8f07c9ec0b5c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山本康貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐藤晴彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小山聡"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"栗原正仁"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年、新しい情報アクセス技術として質問応答が注目されている。質問応答とは自然言語の情報要求に対して最適な回答を自動で返答するシステムであり、その中でも本稿では回答すべき語が複数存在する場合を想定したリスト型質問応答を取り扱う。従来のリスト型質問応答では回答候補に対してスコアリングを行い、そのスコアに基づき正しい回答群の抽出を行っているが、回答群を抽出するためのアルゴリズムの多くは初期スコアの精度に依存しているという問題がある。そこで、本稿では回答候補間の共起情報を用いることで初期スコアを改善するための手法を提案した。また実験により、共起情報を用いることの有用性と課題が確認できた。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"182","bibliographic_titles":[{"bibliographic_title":"第75回全国大会講演論文集"}],"bibliographicPageStart":"181","bibliographicIssueDates":{"bibliographicIssueDate":"2013-03-06","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2013"}]},"relation_version_is_last":true,"weko_creator_id":"6748"}}